Newform data - 8400.2.a.cn

Formats: - HTML - YAML - JSON - 2025-09-18T03:14:11.711724

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 33600, 'analytic_conductor': 67.07433769787552, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 1], [7, -1]], 'atkin_lehner_string': '--+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8400, 1, [3151, 2101, 2801, 5377, 3601], [1, 1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[11, [0, 1]], [13, [2, 1]], [17, [-6, 1]], [19, [-4, 1]], [23, [0, 1]]], 'hecke_orbit': 66, 'hecke_orbit_code': 292733975812645072, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '8400.2.a.cn', 'level': 8400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '210.2.a.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+q^{7}+q^{9}-2q^{13}+6q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/8400/cn'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8400.2.a', 'trace_display': [0, 1, 0, 1], 'trace_hash': 1679657727194428590, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.986', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.029', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.984', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.082', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.936', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, 'traces': [1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, -2, 0, 0, 0, 6, 0, 4, 0, 1, 0, 0, 0, 0, 0, 1, 0, -6, 0, 4, 0, 0, 0, 0, 0, -2, 0, -2, 0, 6, 0, 8, 0, 0, 0, -12, 0, 1, 0, 6, 0, -6, 0, 0, 0, 4, 0, 12, 0, 2, 0, 1, 0, 0, 0, 8, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 16, 0, 1, 0, 12, 0, 0, 0, -6, 0, 6, 0, -2, 0, 4, 0, 0, 0, -14, 0, 0, 0, -6, 0, -16, 0, 0, 0, 12, 0, 14, 0, -2, 0, -18, 0, 0, 0, -2, 0, 6, 0, -11, 0, 6, 0, 0, 0, 8, 0, 8, 0, -12, 0, 4, 0, 0, 0, 6, 0, 4, 0, -12, 0, 0, 0, 0, 0, 1, 0, 18, 0, 16, 0, 6, 0, 0, 0, -2, 0, -6, 0, 0, 0, -16, 0, 0, 0, 12, 0, -9, 0, 4, 0, 6, 0, 0, 0, 12, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 0, 22, 0, 0, 0, 18, 0, 4, 0, 8, 0, -6, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 4, 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-30, 0, 0, 0, -50, 0, 6, 0, -78, 0, -22, 0, 0, 0, -24, 0, 64, 0, 0, 0, -54, 0, 0, 0, 6, 0, -48, 0, 64, 0, -15, 0, 0, 0, -16, 0, 12, 0, 12, 0, 0, 0, 0, 0, 78, 0, 32, 0, 56, 0, 36, 0, 0, 0, 24, 0, -6, 0, 0, 0, -12, 0, 0, 0, 70, 0, 4, 0, 0, 0, -32, 0, 0, 0, -48, 0, 36, 0, -18, 0, 12, 0, 0, 0, 0, 0, 84, 0, 36, 0, 14, 0, 0, 0, -10, 0, -36, 0, 24, 0, -38, 0, 0, 0, 30, 0, 0, 0, -12, 0, 60, 0, 0, 0, 0, 0, -78, 0, -20, 0, -56, 0, 0, 0, -4, 0, 4, 0, 0, 0, -8, 0, 0, 0, 96, 0, 2, 0, -26, 0, -84, 0, 0, 0, -2, 0, 0, 0, -22, 0, 0, 0, 0, 0, -56, 0, 72, 0, 48, 0, 0, 0, 0, 0, -24, 0, -20, 0, -24, 0, 12, 0, 0, 0, 2, 0, -12, 0, 34, 0, 22, 0, 0, 0, -2, 0, 30, 0, -66, 0, 0, 0, 0, 0, 0, 0, -70, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 86, 0, -22, 0, 0, 0, -40, 0, 0, 0, -24, 0, 28, 0, 0, 0, 12, 0, 100, 0, -32, 0, 36, 0, 0, 0, 1, 0, -54, 0, 0, 0, -24, 0, 0, 0, -64, 0, 46, 0, 12, 0, -72, 0, 0, 0, 0, 0, -82, 0, 12, 0, 0, 0, 0, 0, -20, 0, 0, 0, -22, 0, 12, 0, 0, 0, -72, 0, 18, 0, -24, 0, -52, 0, 0, 0, -18, 0, -112, 0, 26, 0, -6, 0, 0, 0, 30, 0, -96, 0, 0, 0, 28, 0, 0, 0, 0, 0, -2, 0, -84, 0, 20, 0, 0, 0, 84, 0, 2, 0, 16, 0, 48, 0, 0, 0, -18, 0, 0, 0, -94, 0, -30, 0, 0, 0, -40, 0, -40, 0, 72, 0, -64, 0, 0, 0, 0, 0, -2, 0, 0, 0, 36, 0, 0, 0, -46, 0, -90, 0, -36, 0, 6, 0, 0, 0, 46, 0, 12, 0, -54, 0, 0, 0, 0, 0, -30, 0, -34, 0, 0, 0, -12, 0, 0, 0, -24, 0, 96, 0, -16, 0, 0, 0, 0, 0, 0, 0, -3, 0, 12, 0, 22, 0, 0, 0, -42, 0, 4, 0, 8, 0, 24, 0, 0, 0, -11, 0, 12, 0, -32, 0, 36, 0, 0, 0, 108, 0, 22, 0, 132, 0, 8, 0, 0, 0, 24, 0, 0, 0, -18, 0, -12, 0, 0, 0, -2, 0, 96, 0, -106, 0, 8, 0, 0, 0, 20, 0, -24, 0, 0, 0, 22, 0, 0, 0, 48, 0, -56, 0, 6, 0, 12, 0, 0, 0, 42, 0, -30, 0, -44, 0, 0, 0, 0, 0, 0, 0, -6, 0, -12, 0, 104, 0, 0, 0, 12, 0, 108, 0, -26, 0, 24, 0, 0, 0, -26, 0, 48, 0, 50, 0, 48, 0, 0, 0, 4, 0, 44, 0, 72, 0, 46, 0, 0, 0, 0, 0, 56, 0, 0, 0, 24, 0, 0, 0, -22, 0, -30, 0, 4, 0, 12, 0, 0, 0, 128, 0, 0, 0, 0, 0, 72, 0, 0, 0, 12, 0, -16, 0, -20, 0, -54, 0, 0, 0, 48, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 8, 0, 168, 0, -14, 0, 0, 0, -24, 0, 8, 0, -8, 0, 0, 0, 0, 0, -36, 0, 6, 0, -36, 0, -48, 0, 0, 0, 10, 0, -14, 0, 90, 0, -40, 0, 0, 0, 84, 0, -58, 0, -12, 0, 0, 0, 0, 0, 8, 0, 0, 0, 85, 0, 8, 0, 0, 0, 0, 0, -36, 0, -36, 0, 4, 0, 0, 0, -36, 0, -68, 0, -30, 0, -72, 0, 0, 0, 12, 0, 66, 0, 16, 0, 52, 0, 0, 0, -2, 0, 0, 0, 12, 0, 40, 0, 0, 0, -12, 0, 26, 0, 0, 0, 6, 0, 0, 0, -12, 0, -48, 0, 98, 0, -30, 0, 0, 0, 92, 0, -9, 0, -48, 0, 0, 0, 0, 0, 66, 0, 4, 0, -36, 0, 18, 0, 0, 0, -36, 0, 96, 0, 100, 0, -2, 0, 0, 0, -14, 0, -18, 0, 66, 0, 8, 0, 0, 0, 168, 0, 28, 0, 4, 0, 102, 0, 0, 0, 0, 0, 24, 0, -44, 0, 2, 0, 0, 0, 8, 0, 18, 0, 0, 0, -50, 0, 0, 0, 102, 0, 0, 0, 0, 0, 24, 0, 0, 0, -8, 0, 0, 0, 4, 0, 6, 0, 0, 0, -74, 0, -26, 0, 0, 0, -76, 0, 0, 0, 6, 0, 36, 0, -42, 0, 60, 0, 0, 0, 0, 0, -36, 0, 20, 0, 0, 0, 0, 0, 88, 0, 36, 0, 0, 0, 106, 0, 0, 0, 90, 0, -40, 0, -22, 0, -48, 0, 0, 0, 66, 0, 24, 0, -92, 0, -20, 0, 0, 0, 70, 0, 6, 0, 90, 0, -23, 0, 0, 0, 0, 0, 2, 0, 22, 0, -192, 0, 0, 0, 12, 0, 48, 0, -57, 0, -84, 0, 0, 0, 56, 0, 0, 0, -12, 0, -26, 0, 0, 0, 12, 0, 4, 0, -48, 0, 72, 0, 0, 0, -46, 0, 0, 0, -44, 0, 4, 0, 0, 0, -38, 0, 0, 0, 18, 0, 0, 0, 0, 0, -24, 0, 98, 0, 12, 0, 0, 0, 0, 0, 36, 0, -108, 0, 16, 0, 28, 0, 0, 0, 38, 0, -10, 0, -96, 0, 10, 0, 0, 0, 78, 0, 72, 0, 2, 0, -12, 0, 0, 0, -12, 0, -12, 0, 32, 0, 24, 0, 0, 0, 0, 0, 32, 0, -78, 0, 80, 0, 0, 0, 48, 0, 8, 0, -18, 0, -90, 0, 0, 0, 28, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [0], [1], [0], [0], [0], [1], [0], [1], [0], [0], [0], [-2], [0], [0], [0], [6], [0], [4], [0], [1], [0], [0], [0], [0], [0], [1], [0], [-6], [0], [4], [0], [0], [0], [0], [0], [-2], [0], [-2], [0], [6], [0], [8], [0], [0], [0], [-12], [0], [1], [0], [6], [0], [-6], [0], [0], [0], [4], [0], [12], [0], [2], [0], [1], [0], [0], [0], [8], [0], [0], [0], [0], [0], [-14], [0], [0], [0], [0], [0], [16], [0], [1], [0], [12], [0], [0], [0], [-6], [0], [6], [0], [-2], [0], [4], [0], [0], [0], [-14], [0], [0], [0]], 'ap': [[0], [1], [0], [1], [0], [-2], [6], [4], [0], [-6], [4], [-2], [6], [8], [-12], [-6], [12], [2], [8], [0], [-14], [16], [12], [6], [-14], [-6], [-16], [12], [14], [-18], [8], [-12], [6], [4], [18], [16], [-2], [-16], [12], [6], [0], [2], [0], [22], [18], [4], [28], [-16], [-12], [2], [6], [0], [26], [-12], [6], [0], [18], [-20], [22], [-30], [20], [6], [20], [0], [10], [-30], [4], [22], [12], [26], [-18], [0], [8], [-26], [-20], [-36], [-30], [-2], [18], [-22], [12], [-10], [-24], [34], [28], [12], [-6], [-2], [-30], [-16], [12], [24], [-16], [-24], [4], [12], [18], [6], [20], [38], [8], [-30], [-36], [-6], [4], [34], [-12], [-42], [24], [2], [32], [-2], [-42], [28], [16], [18], [-4], [-12], [42], [0], [26], [-50], [30], [36], [-20], [-6], [14], [0], [8], [-2], [-44], [-24], [40], [22], [30], [50], [6], [-28], [6], [-30], [4], [-30], [8], [-12], [-46], [0], [-26], [-18], [4], [-48], [-50], [-42], [-40], [-12], [-16], [0], [16], [54], [34], [18], [-36], [6], [56], [-12], [-18], [-36], [-56], [-26], [2], [30], [0], [-22], [-24], [46], [-20], [30], [28], [-30], [-40], [-46], [8], [36], [22], [-18], [-24], [42], [-26], [44], [-22], [-48], [-14], [-36], [52], [-30], [-36], [-18], [2], [-26], [-42], [36], [66], [-20], [22], [-46], [36], [-18], [28], [12], [-54], [4], [-2], [-54], [-40], [-12], [-48], [-22], [56], [-18], [48], [42], [14], [4], [42], [56], [12], [-34], [-18], [-48], [8], [-24], [22], [52], [-32], [42], [44], [12], [2], [18], [-72], [-48], [36], [-20], [56], [-10], [-66], [-24], [-16], [-12], [-44], [-48], [-50], [-18], [-24], [2], [-18], [-48], [38], [68], [54], [-38], [-16], [-12], [-70], [-2], [-18], [-68], [-78], [-42], [-40], [18], [-22], [56], [58], [64], [-62], [32], [-36], [-10], [26], [36], [-60], [-56], [-60], [74], [20], [-24], [-26], [-54], [-68], [-42], [-30], [-12], [54], [60], [-26], [18], [28], [-18], [36], [20], [-14], [42], [-80], [-36], [4], [-50], [-36], [2], [0], [-26], [-12], [66], [66], [-88], [72], [-70], [-36], [24], [-14], [-54], [-20], [22], [66], [-64], [6], [74], [-20], [44], [48], [-6], [-34], [-54], [-44], [36], [-20], [-36], [-58], [30], [-22], [56], [-26], [-42], [-6], [-8], [-54], [-72], [2], [-40], [-24], [-42], [76], [-2], [90], [-64], [62], [-42], [48], [36], [30], [-48], [22], [30], [-72], [24], [-76], [46], [-90], [32], [-22], [-24], [-92], [-24], [42], [52], [-2], [-60], [72], [-14], [30], [-14], [18], [-90], [-16], [30], [76], [84], [64], [22], [80], [12], [50], [6], [72], [-28], [-48], [-26], [-92], [-18], [28], [-6], [50], [-66], [8], [-42], [-6], [-68], [-50], [42], [44], [36], [-38], [-6], [12], [4], [-50], [-78], [-48], [-16], [78], [36], [-6], [70], [-48], [84], [-38], [30], [60], [-78], [-20], [0], [-22], [48], [-20], [12], [-2], [-66], [-70], [86], [-40], [100], [36], [-54], [-82], [0], [-22], [-18], [20], [84], [2], [-94], [-40], [72], [36], [-90], [46], [-54], [-34], [12], [22], [-42], [4], [-32], [96], [-106], [20], [22], [-56], [12], [-30], [-44], [104], [12], [48], [50], [72], [46], [-30], [4], [12], [-54], [-14], [6], [10], [90], [-40], [84], [-58], [-36], [-68], [16], [-2], [-12], [26], [6], [-48], [98], [92], [66], [4], [100], [66], [8], [102], [8], [-50], [102], [24], [4], [-74], [-76], [-36], [0], [106], [90], [-92], [70], [90], [2], [48], [56], [-26], [4], [18], [-24], [98], [-108], [10], [78], [-12], [-78], [80], [-90]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 292733975812645072, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '8400.2.a.cn', 'level': 8400, 'maxp': 3833, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [6, 7, 9, 7, 7, 6, 7, 9, 6, 8, 7, 7, 5, 9, 9, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9], 'ALdims_old': [106, 110, 109, 109, 113, 108, 106, 106, 114, 106, 106, 108, 106, 108, 109, 111], 'Nk2': 33600, 'analytic_conductor': 67.07433769787552, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8400, 1, [3151, 2101, 2801, 5377, 3601], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1849, 'dim': 114, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13, 17, 19, 23], 'hecke_orbit_code': 33562832, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3], 'label': '8400.2.a', 'level': 8400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'mf_dim': 1992, 'mf_new_dim': 114, 'num_forms': 90, 'plus_dim': 51, 'prim_orbit_index': 1, 'relative_dim': 114, 'sturm_bound': 3840, 'trace_bound': 19, 'trace_display': [0, 0, 0, 2], 'traces': [114, 0, 0, 0, 0, 0, 2, 0, 114, 0, 4, 0, -4, 0, 0, 0, 4, 0, -8, 0, 0, 0, 4, 0, 0, 0, 0, 0, -12, 0, -8, 0, 0, 0, 0, 0, -12, 0, -8, 0, 4, 0, -24, 0, 0, 0, -24, 0, 114, 0, 4, 0, -12, 0, 0, 0, 0, 0, -24, 0, 12, 0, 2, 0, 0, 0, 16, 0, 16, 0, -20, 0, 20, 0, 0, 0, -8, 0, -48, 0, 114, 0, -64, 0, 0, 0, 24, 0, 36, 0, 12, 0, -8, 0, 0, 0, 20, 0, 4, 0, 60, 0, -40, 0, 0, 0, 4, 0, 60, 0, 0, 0, 20, 0, 0, 0, -4, 0, 0, 0, 82, 0, -12, 0, 0, 0, 24, 0, -16, 0, 16, 0, -8, 0, 0, 0, 4, 0, -48, 0, 16, 0, -24, 0, 0, 0, 0, 0, 68, 0, -8, 0, 4, 0, 0, 0, 44, 0, -32, 0, -16, 0, 32, 0, 0, 0, -104, 0, 126, 0, -8, 0, 12, 0, 0, 0, 8, 0, -12, 0, 108, 0, 0, 0, 0, 0, -72, 0, 0, 0, 116, 0, -36, 0, 0, 0, 4, 0, 0, 0, -16, 0, 4, 0, 0, 0, 4, 0, -16, 0, 56, 0, 0, 0, 0, 0, 8, 0, 56, 0, 56, 0, -16, 0, 0, 0, 88, 0, 44, 0, -12, 0, -12, 0, 0, 0, 48, 0, 76, 0, 36, 0, 0, 0, 0, 0, 128, 0, 40, 0, 40, 0, -8, 0, 0, 0, 84, 0, 28, 0, -12, 0, 52, 0, 0, 0, -60, 0, 76, 0, 56, 0, 0, 0, 0, 0, 36, 0, -8, 0, 36, 0, 104, 0, 0, 0, 24, 0, 142, 0, 24, 0, -4, 0, 0, 0, 0, 0, -40, 0, -8, 0, -4, 0, 0, 0, 88, 0, 8, 0, 56, 0, 52, 0, 0, 0, 84, 0, 80, 0, 48, 0, -16, 0, 0, 0, 80, 0, -16, 0, -80, 0, -12, 0, 0, 0, 68, 0, 32, 0, 48, 0, 2, 0, 0, 0, 92, 0, -4, 0, -8, 0, -12, 0, 0, 0, 0, 0, -36, 0, 138, 0, 32, 0, 0, 0, 48, 0, 4, 0, 52, 0, 12, 0, 0, 0, 56, 0, 208, 0, 48, 0, 32, 0, 0, 0, -24, 0, 20, 0, 152, 0, 24, 0, 0, 0, 108, 0, -16, 0, -92, 0, -32, 0, 0, 0, -24, 0, -60, 0, 88, 0, 0, 0, 0, 0, 24, 0, -232, 0, -28, 0, -24, 0, 0, 0, -36, 0, -16, 0, 68, 0, -28, 0, 0, 0, 48, 0, 64, 0, 114, 0, 76, 0, 0, 0, 16, 0, -140, 0, -8, 0, 32, 0, 0, 0, -12, 0, 4, 0, -20, 0, -104, 0, 0, 0, 56, 0, -24, 0, 16, 0, -144, 0, 0, 0, -12, 0, 8, 0, -24, 0, -12, 0, 0, 0, -80, 0, 32, 0, 44, 0, -40, 0, 0, 0, -32, 0, 168, 0, 0, 0, 128, 0, 0, 0, -32, 0, -148, 0, -28, 0, 0, 0, 0, 0, -80, 0, 52, 0, -92, 0, 16, 0, 0, 0, 64, 0, 138, 0, -24, 0, -120, 0, 0, 0, -16, 0, 4, 0, 164, 0, 40, 0, 0, 0, -80, 0, 12, 0, -160, 0, -16, 0, 0, 0, -124, 0, 128, 0, 8, 0, -8, 0, 0, 0, 2, 0, -108, 0, 184, 0, -32, 0, 0, 0, 20, 0, 96, 0, 16, 0, -72, 0, 0, 0, 312, 0, -64, 0, 16, 0, 4, 0, 0, 0, 48, 0, 140, 0, 36, 0, 16, 0, 0, 0, 160, 0, 8, 0, -48, 0, 76, 0, 0, 0, 20, 0, -32, 0, 16, 0, -24, 0, 0, 0, 16, 0, 56, 0, 144, 0, 80, 0, 0, 0, -4, 0, -20, 0, -124, 0, -56, 0, 0, 0, -88, 0, 48, 0, 24, 0, 68, 0, 0, 0, 20, 0, 60, 0, -52, 0, -120, 0, 0, 0, -152, 0, -16, 0, -152, 0, 44, 0, 0, 0, -36, 0, -60, 0, -8, 0, -68, 0, 0, 0, 120, 0, -88, 0, -80, 0, -8, 0, 0, 0, 16, 0, 136, 0, -172, 0, 128, 0, 0, 0, -56, 0, -180, 0, -48, 0, -144, 0, 0, 0, 16, 0, 0, 0, -24, 0, -8, 0, 0, 0, -216, 0, 114, 0, 16, 0, -148, 0, 0, 0, -64, 0, -24, 0, -96, 0, 60, 0, 0, 0, -64, 0, -104, 0, 160, 0, -40, 0, 0, 0, -4, 0, 32, 0, -60, 0, -20, 0, 0, 0, -176, 0, -60, 0, -20, 0, 108, 0, 0, 0, 8, 0, 48, 0, -200, 0, 24, 0, 0, 0, 96, 0, 0, 0, 52, 0, 72, 0, 0, 0, -148, 0, -208, 0, 36, 0, -168, 0, 0, 0, 52, 0, -188, 0, 112, 0, -56, 0, 0, 0, 64, 0, 12, 0, -124, 0, 56, 0, 0, 0, -60, 0, 108, 0, 96, 0, 4, 0, 0, 0, -8, 0, 376, 0, 46, 0, -40, 0, 0, 0, 74, 0, 48, 0, 48, 0, -52, 0, 0, 0, -12, 0, 360, 0, -16, 0, -140, 0, 0, 0, 48, 0, -256, 0, 48, 0, 20, 0, 0, 0, -4, 0, 36, 0, -92, 0, 8, 0, 0, 0, -24, 0, -48, 0, 4, 0, 192, 0, 0, 0, 16, 0, -64, 0, -72, 0, 16, 0, 0, 0, 104, 0, 60, 0, -20, 0, -128, 0, 0, 0, 32, 0, -120, 0, -16, 0, -200, 0, 0, 0, -40, 0, -124, 0, -8, 0, 64, 0, 0, 0, 20, 0, 112, 0, 108, 0, -120, 0, 0, 0, -188, 0, 8, 0, 144, 0, -124, 0, 0, 0, -48, 0, 4, 0, 194, 0, 4, 0, 0, 0, 216, 0, 48, 0, 224, 0, 64, 0, 0, 0, -156, 0, 104, 0, 60, 0, 0, 0, 0, 0, -24, 0, -224, 0, 56, 0, -64, 0, 0, 0, -52, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 1389448
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '210.2.a.d', 'target_level': 210, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1389449
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '630.2.a.f', 'target_level': 630, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1389450
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1050.2.a.a', 'target_level': 1050, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1389451
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1050.2.g.h', 'target_level': 1050, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1389452
    {'conductor': 140, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1470.2.a.m', 'target_level': 1470, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '140.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1389453
    {'conductor': 140, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1470.2.i.d', 'target_level': 1470, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '140.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 1389454
    {'conductor': 140, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1470.2.i.h', 'target_level': 1470, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '140.s', 'twisting_char_orbit': 19, 'weight': 2}
  • id: 1389455
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1680.2.a.b', 'target_level': 1680, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1389456
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '3150.2.a.ba', 'target_level': 3150, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1389457
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '3150.2.g.o', 'target_level': 3150, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1389458
    {'conductor': 420, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '4410.2.a.f', 'target_level': 4410, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '420.o', 'twisting_char_orbit': 15, 'weight': 2}
  • id: 1389459
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '5040.2.a.ba', 'target_level': 5040, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1389460
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '6720.2.a.bb', 'target_level': 6720, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1389461
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 55, 'target_is_minimal': False, 'target_label': '6720.2.a.cc', 'target_level': 6720, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1389462
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '7350.2.a.bd', 'target_level': 7350, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1389463
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 66, 'source_is_minimal': False, 'source_label': '8400.2.a.cn', 'source_level': 8400, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 66, 'target_is_minimal': False, 'target_label': '8400.2.a.cn', 'target_level': 8400, 'twist_class_label': '210.2.a.d', 'twist_class_level': 210, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4745100
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 2}
  • id: 4745101
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 3}
  • id: 4745102
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 5}
  • id: 4745103
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 7}
  • id: 4745104
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 11}
  • id: 4745105
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 13}
  • id: 4745106
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 17}
  • id: 4745107
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 19}
  • id: 4745108
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 23}
  • id: 4745109
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 29}
  • id: 4745110
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 31}
  • id: 4745111
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 37}
  • id: 4745112
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 41}
  • id: 4745113
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 43}
  • id: 4745114
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 47}
  • id: 4745115
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 53}
  • id: 4745116
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 59}
  • id: 4745117
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 61}
  • id: 4745118
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 67}
  • id: 4745119
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 71}
  • id: 4745120
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 73}
  • id: 4745121
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 79}
  • id: 4745122
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 83}
  • id: 4745123
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 89}
  • id: 4745124
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 292733975812645072, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 66, 'label': '8400.2.a.cn', 'level': 8400, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 72253135
    {'hecke_orbit_code': 292733975812645072, 'n': 1, 'trace_an': 1}
  • id: 72253136
    {'hecke_orbit_code': 292733975812645072, 'n': 2, 'trace_an': 0}
  • id: 72253137
    {'hecke_orbit_code': 292733975812645072, 'n': 3, 'trace_an': 1}
  • id: 72253138
    {'hecke_orbit_code': 292733975812645072, 'n': 4, 'trace_an': 0}
  • id: 72253139
    {'hecke_orbit_code': 292733975812645072, 'n': 5, 'trace_an': 0}
  • id: 72253140
    {'hecke_orbit_code': 292733975812645072, 'n': 6, 'trace_an': 0}
  • id: 72253141
    {'hecke_orbit_code': 292733975812645072, 'n': 7, 'trace_an': 1}
  • id: 72253142
    {'hecke_orbit_code': 292733975812645072, 'n': 8, 'trace_an': 0}
  • id: 72253143
    {'hecke_orbit_code': 292733975812645072, 'n': 9, 'trace_an': 1}
  • id: 72253144
    {'hecke_orbit_code': 292733975812645072, 'n': 10, 'trace_an': 0}
  • id: 72253145
    {'hecke_orbit_code': 292733975812645072, 'n': 11, 'trace_an': 0}
  • id: 72253146
    {'hecke_orbit_code': 292733975812645072, 'n': 12, 'trace_an': 0}
  • id: 72253147
    {'hecke_orbit_code': 292733975812645072, 'n': 13, 'trace_an': -2}
  • id: 72253148
    {'hecke_orbit_code': 292733975812645072, 'n': 14, 'trace_an': 0}
  • id: 72253149
    {'hecke_orbit_code': 292733975812645072, 'n': 15, 'trace_an': 0}
  • id: 72253150
    {'hecke_orbit_code': 292733975812645072, 'n': 16, 'trace_an': 0}
  • id: 72253151
    {'hecke_orbit_code': 292733975812645072, 'n': 17, 'trace_an': 6}
  • id: 72253152
    {'hecke_orbit_code': 292733975812645072, 'n': 18, 'trace_an': 0}
  • id: 72253153
    {'hecke_orbit_code': 292733975812645072, 'n': 19, 'trace_an': 4}
  • id: 72253154
    {'hecke_orbit_code': 292733975812645072, 'n': 20, 'trace_an': 0}
  • id: 72253155
    {'hecke_orbit_code': 292733975812645072, 'n': 21, 'trace_an': 1}
  • id: 72253156
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  • id: 72253157
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  • id: 72253158
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  • id: 72253159
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  • id: 72253160
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  • id: 72253161
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  • id: 72253162
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  • id: 72253163
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  • id: 72253164
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  • id: 72253165
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  • id: 72253166
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  • id: 72253167
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  • id: 72253168
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  • id: 72253169
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  • id: 72253170
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  • id: 72253171
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  • id: 72253172
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  • id: 72253173
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  • id: 72253174
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  • id: 72253175
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  • id: 72253176
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  • id: 72253177
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  • id: 72253178
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  • id: 72253179
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  • id: 72253180
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  • id: 72253181
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  • id: 72253182
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  • id: 72253183
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  • id: 72253184
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  • id: 72253185
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  • id: 72253186
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  • id: 72253187
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  • id: 72253188
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  • id: 72253189
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  • id: 72253190
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  • id: 72253191
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  • id: 72253192
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  • id: 72253193
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  • id: 72253194
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  • id: 72253195
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  • id: 72253196
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  • id: 72253197
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  • id: 72253198
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  • id: 72253199
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  • id: 72253200
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  • id: 72253201
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  • id: 72253202
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  • id: 72253203
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  • id: 72253204
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  • id: 72253205
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  • id: 72253206
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  • id: 72253207
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  • id: 72253208
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  • id: 72253209
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  • id: 72253210
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  • id: 72253211
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  • id: 72253212
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  • id: 72253213
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  • id: 72253214
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  • id: 72253215
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  • id: 72253216
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  • id: 72253217
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  • id: 72253218
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  • id: 72253219
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  • id: 72253220
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  • id: 72253221
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  • id: 72253222
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  • id: 72253223
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  • id: 72253224
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  • id: 72253225
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  • id: 72253226
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  • id: 72253227
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  • id: 72253228
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  • id: 72253229
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  • id: 72253230
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  • id: 72253231
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  • id: 72253232
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  • id: 72253233
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  • id: 72253234
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  • id: 72253235
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  • id: 72253236
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  • id: 72253237
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  • id: 72253238
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  • id: 72253239
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  • id: 72253240
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  • id: 72253241
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  • id: 72253242
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  • id: 72253243
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  • id: 72253244
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  • id: 72253245
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  • id: 72253246
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  • id: 72253247
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  • id: 72253248
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  • id: 72253249
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  • id: 72253250
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  • id: 72253251
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  • id: 72253252
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  • id: 72253253
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  • id: 72253254
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  • id: 72253255
    {'hecke_orbit_code': 292733975812645072, 'n': 181, 'trace_an': 2}
  • id: 72253256
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  • id: 72253257
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  • id: 72253258
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  • id: 72253259
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  • id: 72253260
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  • id: 72253261
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  • id: 72253262
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  • id: 72253263
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  • id: 72253264
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  • id: 72253265
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  • id: 72253266
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  • id: 72253267
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  • id: 72253268
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  • id: 72253269
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  • id: 72253270
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  • id: 72253271
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  • id: 72253272
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  • id: 72253273
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  • id: 72253274
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  • id: 72253275
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  • id: 72253276
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  • id: 72253277
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  • id: 72253278
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  • id: 72253279
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  • id: 72253280
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  • id: 72253281
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  • id: 72253282
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  • id: 72253283
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  • id: 72253284
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  • id: 72253285
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  • id: 72253286
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  • id: 72253287
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  • id: 72253288
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  • id: 72253289
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  • id: 72253290
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  • id: 72253291
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  • id: 72253292
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  • id: 72253293
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  • id: 72253294
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  • id: 72253295
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  • id: 72253296
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  • id: 72253297
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  • id: 72253298
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  • id: 72253299
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  • id: 72253300
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  • id: 72253301
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  • id: 72253302
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  • id: 72253303
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  • id: 72253304
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  • id: 72253305
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  • id: 72253306
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  • id: 72253307
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  • id: 72253308
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  • id: 72253309
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  • id: 72253310
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  • id: 72253311
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  • id: 72253312
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  • id: 72253313
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  • id: 72253314
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  • id: 72253315
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  • id: 72253316
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  • id: 72253317
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  • id: 72253318
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  • id: 72253319
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  • id: 72253320
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  • id: 72253321
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  • id: 72253322
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  • id: 72253323
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  • id: 72253324
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  • id: 72253325
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  • id: 72253326
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  • id: 72253327
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  • id: 72253328
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  • id: 72253329
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  • id: 72253330
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  • id: 72253331
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  • id: 72253332
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  • id: 72253333
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  • id: 72253334
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  • id: 72253335
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  • id: 72253336
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  • id: 72253337
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  • id: 72253338
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  • id: 72253339
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  • id: 72253340
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  • id: 72253341
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  • id: 72253342
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  • id: 72253343
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  • id: 72253344
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  • id: 72253345
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  • id: 72253346
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  • id: 72253347
    {'hecke_orbit_code': 292733975812645072, 'n': 701, 'trace_an': -6}
  • id: 72253348
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  • id: 72253349
    {'hecke_orbit_code': 292733975812645072, 'n': 719, 'trace_an': 0}
  • id: 72253350
    {'hecke_orbit_code': 292733975812645072, 'n': 727, 'trace_an': 8}
  • id: 72253351
    {'hecke_orbit_code': 292733975812645072, 'n': 729, 'trace_an': 1}
  • id: 72253352
    {'hecke_orbit_code': 292733975812645072, 'n': 733, 'trace_an': -2}
  • id: 72253353
    {'hecke_orbit_code': 292733975812645072, 'n': 739, 'trace_an': -44}
  • id: 72253354
    {'hecke_orbit_code': 292733975812645072, 'n': 743, 'trace_an': -24}
  • id: 72253355
    {'hecke_orbit_code': 292733975812645072, 'n': 751, 'trace_an': 40}
  • id: 72253356
    {'hecke_orbit_code': 292733975812645072, 'n': 757, 'trace_an': 22}
  • id: 72253357
    {'hecke_orbit_code': 292733975812645072, 'n': 761, 'trace_an': 30}
  • id: 72253358
    {'hecke_orbit_code': 292733975812645072, 'n': 769, 'trace_an': 50}
  • id: 72253359
    {'hecke_orbit_code': 292733975812645072, 'n': 773, 'trace_an': 6}
  • id: 72253360
    {'hecke_orbit_code': 292733975812645072, 'n': 787, 'trace_an': -28}
  • id: 72253361
    {'hecke_orbit_code': 292733975812645072, 'n': 797, 'trace_an': 6}
  • id: 72253362
    {'hecke_orbit_code': 292733975812645072, 'n': 809, 'trace_an': -30}
  • id: 72253363
    {'hecke_orbit_code': 292733975812645072, 'n': 811, 'trace_an': 4}
  • id: 72253364
    {'hecke_orbit_code': 292733975812645072, 'n': 821, 'trace_an': -30}
  • id: 72253365
    {'hecke_orbit_code': 292733975812645072, 'n': 823, 'trace_an': 8}
  • id: 72253366
    {'hecke_orbit_code': 292733975812645072, 'n': 827, 'trace_an': -12}
  • id: 72253367
    {'hecke_orbit_code': 292733975812645072, 'n': 829, 'trace_an': -46}
  • id: 72253368
    {'hecke_orbit_code': 292733975812645072, 'n': 839, 'trace_an': 0}
  • id: 72253369
    {'hecke_orbit_code': 292733975812645072, 'n': 841, 'trace_an': 7}
  • id: 72253370
    {'hecke_orbit_code': 292733975812645072, 'n': 853, 'trace_an': -26}
  • id: 72253371
    {'hecke_orbit_code': 292733975812645072, 'n': 857, 'trace_an': -18}
  • id: 72253372
    {'hecke_orbit_code': 292733975812645072, 'n': 859, 'trace_an': 4}
  • id: 72253373
    {'hecke_orbit_code': 292733975812645072, 'n': 863, 'trace_an': -48}
  • id: 72253374
    {'hecke_orbit_code': 292733975812645072, 'n': 877, 'trace_an': -50}
  • id: 72253375
    {'hecke_orbit_code': 292733975812645072, 'n': 881, 'trace_an': -42}
  • id: 72253376
    {'hecke_orbit_code': 292733975812645072, 'n': 883, 'trace_an': -40}
  • id: 72253377
    {'hecke_orbit_code': 292733975812645072, 'n': 887, 'trace_an': -12}
  • id: 72253378
    {'hecke_orbit_code': 292733975812645072, 'n': 907, 'trace_an': -16}
  • id: 72253379
    {'hecke_orbit_code': 292733975812645072, 'n': 911, 'trace_an': 0}
  • id: 72253380
    {'hecke_orbit_code': 292733975812645072, 'n': 919, 'trace_an': 16}
  • id: 72253381
    {'hecke_orbit_code': 292733975812645072, 'n': 929, 'trace_an': 54}
  • id: 72253382
    {'hecke_orbit_code': 292733975812645072, 'n': 937, 'trace_an': 34}
  • id: 72253383
    {'hecke_orbit_code': 292733975812645072, 'n': 941, 'trace_an': 18}
  • id: 72253384
    {'hecke_orbit_code': 292733975812645072, 'n': 947, 'trace_an': -36}
  • id: 72253385
    {'hecke_orbit_code': 292733975812645072, 'n': 953, 'trace_an': 6}
  • id: 72253386
    {'hecke_orbit_code': 292733975812645072, 'n': 961, 'trace_an': -15}
  • id: 72253387
    {'hecke_orbit_code': 292733975812645072, 'n': 967, 'trace_an': 56}
  • id: 72253388
    {'hecke_orbit_code': 292733975812645072, 'n': 971, 'trace_an': -12}
  • id: 72253389
    {'hecke_orbit_code': 292733975812645072, 'n': 977, 'trace_an': -18}
  • id: 72253390
    {'hecke_orbit_code': 292733975812645072, 'n': 983, 'trace_an': -36}
  • id: 72253391
    {'hecke_orbit_code': 292733975812645072, 'n': 991, 'trace_an': -56}
  • id: 72253392
    {'hecke_orbit_code': 292733975812645072, 'n': 997, 'trace_an': -26}